Currently supervised PostDocs
- Anuja Vats (2024 – ): Postdoctoral Fellow in the SmaRTWork project
Currently supervised Ph.D. students (main supervision)
- Tom Hermann (2023 – ): Using Artificial Intelligence for Understanding Health Risks in Elderly – co-supervised by Håvard Skjellegrind
- Lena Jedamski (2023 – ): Building a Recommendation System for Trustworthy Methods in AI Applications co-supervised by Andreas Hafver
- Stuart Galina Ottersen (2023 – ): Using machine learning to predict response and dropout in RCT data from digital sleep therapy – co-supervised by Håvard Kallestad
- Betül Bayrak (2022 – ): Model-Agnostic Explainable Artificial Intelligence Using Case-Based Reasoning – co-supervised by Helge Langseth
- Aleksej Logacjov (2021 – ): Improving the Understanding of Physical Activity Behavior and Sleep Using Machine Learning – co-supervised by Paul Jarle Mork
- Sverre Herland (2020 – ): Reinforcement Learning for Contact-free Operations in the Aquaculture Industry – co-supervised by Helge Langseth
Currently supervised Ph.D. students (co-supervision)
- Tomasz Szczepanski (2024 – ): Improved diagnosis by digital gold mining in historical neurophysiological data – main supervisor Kristian Bernhard Nilsen
- Abdul Kazeem Shamba (2023 – ): Hybrid AI for Anomaly Detection and Predictive Maintenance on Wireless Embedded Sensor Nodes – main supervisor Frank Kraemer
- Sophia Sylvester (2023 – ): Radar Data and Machine Learning in Psychiatric Care: Novel Approaches for Advancing Sleep/Wake Estimation and Aggression Prediction – main supervisor Håvard Kallestad
- Anna Rodum Bjøru (2021 – ): Explainable AI with Deep Bayesian Networks – main supervisor Helge Langseth
- Hafiz Areeb Asad (2021 – ): Machine Learning for Cognitive Power Management in IoT – main supervisor Frank Kraemer
- Eirik Lund Flogard (2020 – 2024): Improving Labour Inspection Efficiency via Machine Learning – main supervisor Ole Jakob Mengshoel
- Fredrik Granviken (2020 – 2024): Personalized Decision Support in the Management of Musculoskeletal Pain Disorders in Primary Physiotherapy Care – main supervisors Ingebrigt Meisingset and Ottar Vasseljen
- Fabienne Rössler (2018 – ): – main supervisor Nadav Bar
Alumni (Ph.D. and Post-docs)
- Bjørn Magnus Mathisen (Post-doc, 2021 – 2024): SFI Exposed Aquaculture Postdoctoral Fellow
- Abdulmajid Murad (Post-doc, 2023 – 2024): NorwAI WP Data Postdoctoral Fellow
- Tiago Veiga (Post-doc, 2020 – 2023): ERCIM & AI4EU Postdoctoral Fellow
- Paola Marin Veites (Ph.D., 2021 – 2023): The Use of Case-Based Reasoning in Muscoloskeletal Pain Complaints – co-supervised by Ottar Vasseljen
- Håkon Måløy (Ph.D., 2018 – 2023): Learning neural representations for the processing of temporal data in deep neutral networks – main supervisor Keith Downing
- Abdulmajid Murad (Ph.D., 2018 – 2023): Uncertainty-Aware Autonomous Sensing with Deep Reinforcement Learning – main supervisor Frank Kraemer
- Deepika Verma (Ph.D., 2017 – 2022): Using Case- based Reasoning for Creating Intelligent Systems in Healthcare – co-supervised by Paul Jarle Mork
- Elise Klæbo Vonstad (Ph.D., 2017 – 2022): Improving Exergame Technologies for Older Adults Using Machine Learning – main supervisor Jan Harald Nilsen
- Johannes Rehm (2020 – ): – main supervisor Odd Erik Gundersen
- Di Wu (Ph.D., 2017 – 2022): Computational Risk Analysis for Digitizing Sustainable Urban Water Supply Systems – main supervisor Hao Wang
- Hoda Nikpour (Ph.D., 2015 – 2021): Problem solving in uncertain domains by a Bayesian supported knowledge-intensive case-based reasoning method – main supervisor Agnar Aamodt
- Bjørn Magnus Mathisen (Ph.D., 2016-2021): Using Similarity Learning to Enable Decision Support in Aquaculture – main supervisor, co-supervisors: Agnar Aamodt and Helge Langseth
- Irina Reshodko (Post-doc, 2020 – 2021): Automated feedback and instruction system for passenger car driving schools, co-supervised with Odd Erik Gundersen
- Ilya Ashikhmin (Post-doc, 2017 – 2021): selfBACK project & Back-Up project
- Tomasz Szczepanski (Researcher, 2016-2021): selfBACK project & Back-Up project
Ph.D. Committees (internal and external)
- Tor Gunnar Høst Houeland, NTNU (2020): Automated lazy metalearning in introspective reasoning systems [administrator and member of the committee]
- Pascal Reuss, University of Hildesheim (2019): Case Factories: A Maintenance Cockpit for distributed structural Case-Based Reasoning Systems [opponent]
- Patrick Schuch, NTNU (2019): Deep Learning for Fingerprint Recognition Systems [administrator and member of the committee]
- Thomas Falch, NTNU (2018): ImageCL and Other Techniques and Tools for Optimizing Applications Utilizing Heterogeneous Computing [administrator and member of the committee]